Intentionally-underestimated value function at terminal state for temporal-difference learning with mis-designed reward
Robot control using reinforcement learning has become popular, but its learning process often terminates midway through an episode for safety and time-saving reasons. This study addresses the problem of the most popular exception handling that temporal-difference (TD) learning performs at such termi...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | Results in Control and Optimization |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666720725000165 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|